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From Hawin Jiang <hawin.ji...@gmail.com>
Subject Re: Best way to write data to HDFS by Flink
Date Mon, 22 Jun 2015 21:51:11 GMT
Hi  Marton

if we received a huge data from kafka and wrote to HDFS immediately.  We
should use buffer timeout based on your URL
I am not sure you have flume experience.  Flume can be configured buffer
size and partition as well.

What is the partition.
For example:
I want to write 1 minute buffer file to HDFS which is
/data/flink/year=2015/month=06/day=22/hour=21.
if the partition(/data/flink/year=2015/month=06/day=22/hour=21) is there,
no need to create it. Otherwise, flume will create it automatically.
Flume knows the coming data will come to right partition.

I am not sure Flink also provided a similar partition API or configuration
for this.
Thanks.



Best regards
Hawin

On Wed, Jun 10, 2015 at 10:31 AM, Hawin Jiang <hawin.jiang@gmail.com> wrote:

> Thanks Marton
> I will use this code to implement my testing.
>
>
>
> Best regards
> Hawin
>
> On Wed, Jun 10, 2015 at 1:30 AM, Márton Balassi <balassi.marton@gmail.com>
> wrote:
>
>> Dear Hawin,
>>
>> You can pass a hdfs path to DataStream's and DataSet's writeAsText and
>> writeAsCsv methods.
>> I assume that you are running a Streaming topology, because your source
>> is Kafka, so it would look like the following:
>>
>> StreamExecutionEnvironment env =
>> StreamExecutionEnvironment.getExecutionEnvironment();
>>
>> env.addSource(PerisitentKafkaSource(..))
>>       .map(/* do you operations*/)
>>
>> .wirteAsText("hdfs://<namenode_name>:<namenode_port>/path/to/your/file");
>>
>> Check out the relevant section of the streaming docs for more info. [1]
>>
>> [1]
>> http://ci.apache.org/projects/flink/flink-docs-master/apis/streaming_guide.html#connecting-to-the-outside-world
>>
>> Best,
>>
>> Marton
>>
>> On Wed, Jun 10, 2015 at 10:22 AM, Hawin Jiang <hawin.jiang@gmail.com>
>> wrote:
>>
>>> Hi All
>>>
>>>
>>>
>>> Can someone tell me what is the best way to write data to HDFS when
>>> Flink received data from Kafka?
>>>
>>> Big thanks for your example.
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> Best regards
>>>
>>> Hawin
>>>
>>>
>>>
>>
>>
>

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